Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Catawba County, NC

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Catawba County, NC
Series ID MHICIUBNC37035A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:51 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 30486
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35229
1994-01-01 .
1995-01-01 39010
1996-01-01 .
1997-01-01 41414
1998-01-01 43409
1999-01-01 42768
2000-01-01 45685
2001-01-01 44033
2002-01-01 43388
2003-01-01 42794
2004-01-01 43871
2005-01-01 41794
2006-01-01 44751
2007-01-01 46007
2008-01-01 45748
2009-01-01 44688
2010-01-01 43868
2011-01-01 46439
2012-01-01 44128
2013-01-01 46741
2014-01-01 47561
2015-01-01 43900
2016-01-01 52628
2017-01-01 55832
2018-01-01 57198
2019-01-01 57324
2020-01-01 57604
2021-01-01 63125
2022-01-01 69119

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